Results 131 to 140 of about 32,246 (268)

Integrating Products, Processes, and Sourcing for Eco‐Innovation

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Eco‐innovation research has often examined regulatory or technological drivers but has paid limited attention to how long‐term organizational change shapes eco‐innovation in mature, resource‐intensive industries. This study addresses that gap by investigating how two leading Finnish pulp and paper firms integrated product, process, and ...
Misa Bakajic, Anand Nair, Markku Kuula
wiley   +1 more source

Exploring Green Entrepreneurship: Clarifying Conceptual Overlaps and Distinctions With Sustainability‐Related Entrepreneurship

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Increasing global emphasis on sustainability has positioned green entrepreneurship as a key mechanism for aligning business with environmental responsibility. Despite growing research, green entrepreneurship remains conceptually fragmented, with overlapping constructs and inconsistent definitions, which may have constrained theoretical and ...
Alexandra Elena Carst   +1 more
wiley   +1 more source

Agentic AI and Circular Procurement Performance: An Empirical Study

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Organizations that practice circular procurement in this rapidly changing world face many uncertainties. However, emerging digital technologies, such as agentic AI, can help manage resources and improve responsiveness to better serve both internal and external customers.
Surajit Bag   +3 more
wiley   +1 more source

Random forest regression for catalyst performance prediction and validation of tri‐reforming of methane (TRM)

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract Carbon dioxide‐reduced hydrogen can be synthesized through various methods such as dry‐reforming (DRM), steam reforming (SMR), and partial oxidation (POX). Tri‐reforming of methane (TRM) is a promising technology which combines all the above‐mentioned processes for the simultaneous production of hydrogen and syngas with high energy efficiency.
Paulo A. L. de Souza   +3 more
wiley   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos   +3 more
wiley   +1 more source

A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao   +2 more
wiley   +1 more source

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